AI agents are the next step in artificial intelligence, moving beyond generative AI into systems that act, decide, and adapt. Businesses are now exploring how AI agents create real value, but adoption comes with risks and challenges.
An AI that is trained on your specific data cannot be copied by competitors and is a very strong way to set you apart. Let's have a look at how you can fine-tune your AI systems on your specific data.
Large Language Model (LLM) applications are everywhere. From chatbots, to webscraping tools and even the usage of LLM's to automate administrative tasks completely. All of this cutting-edge technology, obviously, has the potential for enormous business impact. However, can we prove that our investments in this technology are driving value? When is the performance of these applications "good-enough"?
Unfortunately generative AI and Large Language Models are not an universal solution to all our problems. But how can you create impact with it in your business?
